This paper describes the development and validation of a new multivariate calibration method based on diffuse reflectance mid infrared spectroscopy for direct and simultaneous determination of three veterinary pharmaceutical drugs, pyrantel pamoate, praziquantel and febantel, in commercial tablets. The best synergy interval partial least squares (siPLS) model was obtained by selecting three spectral regions, 3715-3150, 2865-2583, and 2298-1733 cm(-1), preprocessed by first derivative and Savitzky-Golay smoothing followed by mean centering. This model was built with five latent variables and provided root mean square errors of prediction (RMSEP) equal or lower than 0.69 mg per 100 mg of powder for the three analytes. The method was validated according the appropriate regulations through the estimate of figures of merit, such as trueness, precision, linearity, analytical sensitivity, bias and residual prediction deviation (RPD). Then, it was applied to three different veterinary pharmaceutical formulations found in the Brazilian market, in a situation of multi-product calibration, since the excipient composition of these commercial products, which was not known a priori, was modeled by an experimental design that scanned the likely content range of the possible constituents. The results were verified with high performance liquid chromatography with diode array detection (HPLC-DAD) and high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) and were in agreement with the predicted values at 95% confidence level. The developed method presented the advantages of being simple, rapid, solvent free, and about ten times faster than the HPLC ones. (C) 2014 Elsevier B.V. All rights reserved.
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Avignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, FranceAvignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, France
Lan, Weijie
Bureau, Sylvie
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Avignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, FranceAvignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, France
Bureau, Sylvie
Chen, Songchao
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INRAE, Unite InfoSol, F-45075 Orleans, FranceAvignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, France
Chen, Songchao
Leca, Alexandre
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Avignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, FranceAvignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, France
Leca, Alexandre
Renard, Catherine M. G. C.
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Avignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, France
INRAE, TRANSFORM Div, F-44000 Nantes, FranceAvignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, France
Renard, Catherine M. G. C.
Jaillais, Benoit
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INRAE ONIRIS, Unite Stat Sensometrie Chimiometrie Stat SC, F-44322 Nantes, FranceAvignon Univ, INRAE, UMR408 Securite & Qualite Prod Origine Vegetale, F-84000 Avignon, France
机构:
Anyang Normal Univ, Coll Chem & Chem Engn, Anyang 455000, Henan, Peoples R ChinaAnyang Normal Univ, Coll Chem & Chem Engn, Anyang 455000, Henan, Peoples R China
Xu, Lu
Cai, Chen-Bo
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Chuxiong Normal Univ, Dept Chem & Life Sci, Chuxiong 675000, Peoples R ChinaAnyang Normal Univ, Coll Chem & Chem Engn, Anyang 455000, Henan, Peoples R China
Cai, Chen-Bo
Deng, De-Hua
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Anyang Normal Univ, Coll Chem & Chem Engn, Anyang 455000, Henan, Peoples R ChinaAnyang Normal Univ, Coll Chem & Chem Engn, Anyang 455000, Henan, Peoples R China